The opportunity
The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity,…
What you'll do
Own the technical partner journey for priority agent enablement: integrations—from use-case selection and readiness assessment through architecture, prototype, implementation, evaluation, launch, rollout, and ongoing maintenance.
Help partners choose and implement the right integration path across browser: sign-in, connector-initiated OAuth, and agentic account linking or provisioning, with clear user journeys and safe fallback behavior.
Write production and sample code, build reference implementations and test: harnesses, and create the technical guidance, integration checklists, evaluations, and debugging tools that move partners from concept to production.
Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange and validation, account mapping, connector callbacks, CLI or MCP handoffs, latency, retries, rate limits, logs, traces, and metrics.
Review partner architectures and implementation plans for API contracts,: scopes and permissions, consent, terms acceptance, and account policy, secret handling, data boundaries, privacy, reliability, and long-term maintainability.
Run hands-on evaluations, dogfood, launch-readiness reviews, staged rollouts,: and post-launch investigations; turn findings into concrete fixes rather than one-off workarounds.
What they're looking for
- Contribute targeted improvements to ChatGPT, Codex, and the Agent Enablement: platform, including identity protocols, APIs, SDKs, docs, examples, internal tooling, partner-debugging workflows, launch guardrails, and user-facing consent or control experiences.
- Work closely with product, engineering, design, partnerships, legal, policy,: security, support, and go-to-market teams to make partner launches smooth, safe, and repeatable.
- Bring structured signals from partners back to product and engineering, and: turn recurring integration patterns into platform requirements, reference architectures, playbooks, and developer guidance.
- Have 4–6 years of professional software engineering or AI engineering: experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding.
